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São Paulo, São Paulo, Brasil
Onsite
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
This role is fully remote for candidates based in Brazil. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.
As a Data Engineer part of our growing Data Science team, you will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, enabling efficient data integration, storage, and processing across our various data sources. You will collaborate with cross-functional teams, including Data Scientists, Software Engineers, and other technical stakeholders, to ensure data quality and support data-driven decision-making.
Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations
Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign
Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
Provide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learning
Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others
BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
Experience in technology-related fields, which can be industry and/or academic research (e.g. BI, Software, Data Science, Data Engineering)
At least 3 years of experience as Data Engineer
Have actively participated in the design and development of data architectures
Hands-on experience in developing and optimizing data pipelines
Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
Effective English communication - able to explain technical and non-technical concepts to different audiences
Experience with a general-purpose programming language such as Python or Scala
Ability to work well in teams and interact effectively with others
Ability to work independently and manage multiple tasks simultaneously while meeting deadlines
Cloud platforms and services, such as AWS, GCP, or Azure
Big data tools such as Hadoop, Spark or Kafka
Orchestration tools such as Airflow
NoSQL databases
Containerization technologies such as Docker and Kubernetes
Agile development environment and familiarity with Agile methodologies
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.
